Conditions of Use
I give five even though it is not a comprehensive book for Evolutionary Game Theory(EGT) at all. It is because the book is not meant to be. It contains a brief introduction to Game Theory and Evolutionary Game Theory. However, it has comprehensive... read more
I give five even though it is not a comprehensive book for Evolutionary Game Theory(EGT) at all. It is because the book is not meant to be. It contains a brief introduction to Game Theory and Evolutionary Game Theory. However, it has comprehensive instructions on how to model EGT problems with Netlogo.
The content is accurate. I don't find any errors.
Content is up-to-date. the instruction on Netlogo is easy to follow.
The text is written in lucid accessible prose. And, it provides adequate context for any jargon or terminology.
The textbook is internally consistent in terminology and framework.
Since it starts with a brief introduction to EGT and explains how to use Netlogo, it is not easy to divide and create separate modules. But, in the latter part of the textbook, the chapters for specific models can be selected for separate modules after the basics of EGT and Netlogo are introduced.
This book is organized in a logical and clear fashion.
The textbook doesn't have an issue with the interface. The textbook rather is excellent in the interface. The code part and the body part are distinguished by frame and different background colors. Many colorful figures and screenshots make the text excellent in the interface.
I don't find any grammatical errors.
This text has technical content. The text doesn't have any culturally insensitive or offensive.
This book to a theoretical EGT book is like an Excel tutorial with statistics examples to Statistics book. It will be a really useful supplementary book for an EGT course, with EGT books such as 'Population Game and Evolutionary Dynamics' by William Sandholm
Table of Contents
- 0.1. Introduction to evolutionary game theory
- 0.2. Introduction to agent-based modeling
- 0.3. Introduction to Netlogo
- 0.4. The fundamentals of NetLogo
1. Our first agent-based evolutionary model
- 1.0. Our very first model
- 1.1. Extension to any number of strategies
- 1.2. Noise and initial conditions
- 1.3. Interactivity and efficiency
- 1.4. Analysis of these models
- 1.5. Answers to exercises
2. Spatial interactions on a grid
- 2.0. Spatial chaos in the Prisoner's Dilemma
About the Book
This book is a guide to implement simple agent-based evolutionary models using NetLogo.
All the models we implement are agent-based, i.e. individual agents and their interactions are explicitly represented in the models. To formalise agents’ interactions we use the basic framework of Evolutionary Game Theory.
NetLogo is a multi-agent programmable modeling environment used by hundreds of thousands of students, teachers and researchers all around the globe. No coding experience is necessary to fully understand the contents of this book.
About the Contributors
Luis R. Izquierdo
Segismundo S. Izquierdo
William H. Sandholm